Abstract #2275

Automated mitral valve vortex ring extraction from 4D flow MRI: impact of segmentation

Corina Kräuter^1,2, Ursula Reiter¹, Clemens Reiter¹, Volha Nizhnikava¹, Marc Masana³, Albrecht Schmidt⁴, Michael Fuchsjäger¹, Rudolf Stollberger², and Gert Reiter⁵

¹Department of Radiology, Medical University of Graz, Graz, Austria, ²Institute of Medical Engineering, Graz University of Technology, Graz, Austria, ³Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain, ⁴Department of Internal Medicine, Medical University of Graz, Graz, Austria, ⁵Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria

Automated mitral valve vortex ring evolution analysis from magnetic resonance 4D flow data is feasible. However, time-consuming manual segmentation of the left ventricular blood pool represents a bottleneck. We simulated speed-up and variability of manual segmentation and analyzed the impact on vortex ring parameters. Automated mitral valve vortex ring extraction and analysis yielded robust results, even when applying the end-diastolic segmentation mask to all cardiac phases. Error analysis of vortex ring parameters showed that under-segmentation of the ventricular blood pool should be avoided. Speeding up segmentation by using only the end-diastolic mask enables clinical mitral valve vortex ring analysis studies.

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